Comparison
awesome-ai-apps vs shell_gpt
Verdict
Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; pick shell_gpt if shellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support.
Markdown twin · awesome-ai-apps alternatives · shell_gpt alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | awesome-ai-apps | shell_gpt |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Steady (79d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-ai-apps
- A curated list of AI applications showcasing RAG, agents, and workflows.
- shell_gpt
- A command-line productivity tool powered by AI large language models
Stars
- awesome-ai-apps
- 16k
- shell_gpt
- 12k
Forks
- awesome-ai-apps
- 1.8k
- shell_gpt
- 977
Open issues
- awesome-ai-apps
- 65
- shell_gpt
- 121
Language
- awesome-ai-apps
- Python
- shell_gpt
- Python
Adopt for
- awesome-ai-apps
- awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python.
- shell_gpt
- ShellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support.
Persona
- awesome-ai-apps
- -
- shell_gpt
- -
Runtime
- awesome-ai-apps
- -
- shell_gpt
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- shell_gpt
- MIT
Last pushed
- awesome-ai-apps
- Sep 18, 2026
- shell_gpt
- Jul 2, 2026
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- shell_gpt
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- awesome-ai-apps
- Very active (96%)
- shell_gpt
- Steady (60%)
Days since push
- awesome-ai-apps
- 1d
- shell_gpt
- 79d
Open issues (now)
- awesome-ai-apps
- 65
- shell_gpt
- 121
Stars delta
- awesome-ai-apps
- +2.4k (30d)
- shell_gpt
- +52 (30d)
Open issues delta
- awesome-ai-apps
- -24 (30d)
- shell_gpt
- +3 (30d)
Full report
- awesome-ai-apps
- Trust report
- shell_gpt
- Trust report
Shared compatibility
- Python · awesome-ai-apps: Python runtime · shell_gpt: Python runtime
Choose awesome-ai-apps if…
- Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts..
- Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed..
- Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm.
- Also covers AI Agents.
- Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
When NOT to use awesome-ai-apps
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python.
- Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
Choose shell_gpt if…
- Tags unique to shell_gpt: chatgpt, cli, commands, productivity.
- Also covers Inference & Serving.
- shell_gpt ships Docker support for self-hosted deployment.
- When requiring integration with the OpenAI API for advanced CLI tasks
When NOT to use shell_gpt
- Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported
- Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arindam200/awesome-ai-apps) · observed Sep 20, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Sep 20, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TheR1D/shell_gpt) · observed Sep 20, 2026
- GitHub forks (TheR1D/shell_gpt) · observed Sep 20, 2026
- Last push (TheR1D/shell_gpt) · observed Jul 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-ai-apps 16k · shell_gpt 12k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-apps and shell_gpt?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. shell_gpt: A command-line productivity tool powered by AI large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over shell_gpt?
- Choose awesome-ai-apps over shell_gpt when Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Also covers AI Agents; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
- When should I choose shell_gpt over awesome-ai-apps?
- Choose shell_gpt over awesome-ai-apps when Tags unique to shell_gpt: chatgpt, cli, commands, productivity; Also covers Inference & Serving; shell_gpt ships Docker support for self-hosted deployment; When requiring integration with the OpenAI API for advanced CLI tasks.
- When should I avoid awesome-ai-apps?
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
- When should I avoid shell_gpt?
- Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees
- Is awesome-ai-apps or shell_gpt more popular on GitHub?
- awesome-ai-apps has more GitHub stars (15,671 vs 12,287). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and shell_gpt open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, shell_gpt: MIT).
- Where can I find alternatives to awesome-ai-apps or shell_gpt?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and shell_gpt alternatives (awesome-ai-apps markdown twin, shell_gpt markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-ai-apps or shell_gpt?
- awesome-ai-apps: Very active. shell_gpt: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome-ai-apps and shell_gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; shell_gpt trust report.